update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- text-classification
 - generated_from_trainer
 datasets:
 - glue
@@ -22,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8529411764705882
+      value: 0.8627450980392157
     - name: F1
       type: f1
-      value: 0.8986486486486487
+      value: 0.9
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # platzi-distilroberta-base-mrpc-glue
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue and the mrpc datasets.
 It achieves the following results on the evaluation set:
-- Loss: 0.5972
-- Accuracy: 0.8529
-- F1: 0.8986
+- Loss: 0.4414
+- Accuracy: 0.8627
+- F1: 0.9
 
 ## Model description